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Embedded dual server based failure diagnosis method and system for rotation machines in heat-engine plant

A dual-server, rotating machinery technology, applied in the testing of mechanical components, testing of machine/structural components, testing of machine gears/transmission mechanisms, etc., can solve the problem of low reliability of diagnostic results and non-universal fault diagnosis methods, etc. problem, to achieve the effect of improving reliability

Active Publication Date: 2016-07-27
DATANG HUAINAN LUOHE POWER PLANT +1
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method and system for fault diagnosis of rotating machinery in thermal power plants based on embedded dual servers, so as to solve the problems existing in the prior art that the fault diagnosis method does not have universality and the reliability of the diagnosis result is low. question

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  • Embedded dual server based failure diagnosis method and system for rotation machines in heat-engine plant
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  • Embedded dual server based failure diagnosis method and system for rotation machines in heat-engine plant

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Embodiment 1

[0061] see figure 1 As shown, a method for diagnosing faults of thermal power plant rotating machinery based on embedded dual servers provided by the embodiment of the present invention includes:

[0062] S1: Obtain the fault signal set and fault type set of rotating mechanical equipment, and determine the fault fuzzy relationship matrix;

[0063] S2: collect the vibration signal of the rotating mechanical equipment, and determine the fault signal and the membership degree matrix of the fault signal;

[0064] S3: According to the fault fuzzy relationship matrix and the fault signal membership degree matrix, diagnose the fault type of the rotating mechanical equipment, and issue early warning information.

[0065] According to the method for diagnosing faults of thermal power plant rotating machinery based on embedded dual servers described in the embodiment of the present invention, the fault fuzzy relationship matrix is ​​determined according to the obtained fault signal set...

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Abstract

The invention provides an embedded dual server based failure diagnosis method and system for rotation machines in a heat-engine plant. By adopting the method and system, reliability and utilization rate of the rotation machines can be improved. The method includes determining a failure fuzzy relation matrix; collecting vibration signals of the rotation machines and determining failure signals and a failure signal membership matrix; diagnosing the failure types of the rotation machines according to the failure fuzzy relation matrix and the failure signal membership matrix. The system includes a failure fuzzy relation matrix determining unit used for determining the failure fuzzy relation matrix; a failure signal membership matrix determining unit used for determining the failure signals and the failure signal membership matrix; and a failure type determining unit used for diagnosing the failure types of the rotation machines according to the failure fuzzy relation matrix and the failure signal membership matrix and sending early warning information. The method and system provided by the invention is suitable for the field of heat-engine plant monitoring.

Description

technical field [0001] The invention relates to the technical field of thermal power plant monitoring, in particular to a method and system for diagnosing faults of thermal power plant rotating machinery based on embedded dual servers. Background technique [0002] With the development of automation technology, communication technology and information technology, the factory-level monitoring information system of thermal power plants in my country has been rapidly popularized. At present, many thermal power plants have begun to pay attention to the monitoring of the state of rotating machinery equipment, and introduced a variety of state monitoring and diagnosis technologies, including: threshold value comparison method, establishment of mathematical model of fault diagnosis of rotating machinery equipment, fault diagnosis based on artificial neural network methods and other technologies. [0003] The threshold value comparison method uses traditional binary logic to compar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/02
CPCG01M13/028
Inventor 蒋维刘冰李海波刘海军罗少春颜舒淮陈多习
Owner DATANG HUAINAN LUOHE POWER PLANT
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